Neuronal Developmental Marker FORSE-1 Identifies a Putative Progenitor of the Pulmonary Neuroendocrine Cell Lineage During Lung Development
Bibliographic record
Abstract
The FORSE-1 (forebrain-surface-embryonic) monoclonal antibody (MAb) recognizes a carbohydrate cell surface epitope related to the Lewis-X (LeX) and stage-specific embryonic antigens (SSEAs). In the developing CNS, the FORSE-1 epitope is believed to serve as a marker of progenitor cells. We studied the expression of the FORSE-1 epitope in pulmonary neuroendocrine cells (PNECs) and related neuroepithelial bodies (NEBs), cell types implicated in paracrine regulation of lung development. We used dual immunolabeling to identify PNECs/NEBs in tissue sections from developing rabbit fetal lungs and corresponding primary lung cell cultures. During the early stage (E16), the FORSE-1 MAb labeled primitive airway epithelium, whereas serotonin (5HT) immunoreactivity, a marker of PNEC/NEB differentiation, was negative. After E18, FORSE-1 labeling became restricted to PNECs and NEBs, identified by co-expression with 5HT, then decreased coincident with an increase in 5HT. Expression of the FORSE-1 epitope correlated inversely with 5HT expression in PNEC/NEB cells. FORSE-1 immunoreactivity correlated with cell proliferation assessed by BrdU labeling. Downregulation of the FORSE-1 epitope correlated with maturation of PNECs/NEBs. The presence of few FORSE-1/5HT-positive cells in postnatal lung suggests retention of progenitors. The FORSE-1 epitope was associated with a high molecular weight (286 kD) glycoprotein that decreased with increasing gestational age, as demonstrated by immunoblotting. Overall expression of SSEA-1, -3, and -4 antigens was similar to FORSE-1/5HT, although the former was preferentially localized to neurite-like processes. Because the role of the FORSE-1 epitope in the CNS probably involves cell adhesion and differentiation, we propose a similar function in developing lung. The demonstration of LeX/SSEA antigen expression in the PNEC/NEB cell lineage underscores the importance of these cells in developing lung. Furthermore, the FORSE-1 antigen may identify committed progenitors of the PNEC/NEB cell system.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".